Hengwei Chen

According to our database, Hengwei Chen authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model.

Hengwei Chen, Jürgen Bajorath

J. Cheminformatics, December, 2024

Combining a Chemical Language Model and the Structure-Activity Relationship Matrix Formalism for Generative Design of Potent Compounds with Core Structure and Substituent Modifications.

Hengwei Chen, Jürgen Bajorath

J. Chem. Inf. Model., 2024

2023

Designing highly potent compounds using a chemical language model.

Hengwei Chen, Jürgen Bajorath

Dataset, March, 2023

DeepCubist: Molecular Generator for Designing Peptidomimetics based on Complex three-dimensional scaffolds.

Kohei Umedera, Atsushi Yoshimori, Hengwei Chen, Hiroyuki Kouji, Hiroyuki Nakamura, Jürgen Bajorath

J. Comput. Aided Mol. Des., February, 2023

2022

DeepAC - Conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compounds.

Hengwei Chen, Martin Vogt, Jürgen Bajorath

Dataset, October, 2022

RFAP: A Revocable Fine-Grained Access Control Mechanism for Autonomous Vehicle Platoon.

Yanan Zhao, Yunpeng Wang, Xiaochun Cheng, Hengwei Chen, Haiyang Yu, Yilong Ren

IEEE Trans. Intell. Transp. Syst., 2022

Prediction model for synergistic anti-tumor multi-compound combinations from traditional Chinese medicine based on extreme gradient boosting, targets and gene expression data.

Mengqiu Sun, Shengnan She, Hengwei Chen, Jiaxi Cheng, Wei Ji, Dan Wang, Chunlai Feng

J. Bioinform. Comput. Biol., 2022

Wind awareness for energy consumption in drone simulations (demo paper).

Noah Kelleher, Ricardo Ramirez, Adnan Salihovic, Nathan McKay, Jonathan Kelly, Hengwei Chen, Goce Trajcevski

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2019

Gene Expression Data Based Deep Learning Model for Accurate Prediction of Drug-Induced Liver Injury in Advance.

Chunlai Feng, Hengwei Chen, Xianqin Yuan, Mengqiu Sun, Kexin Chu, Hanqing Liu, Mengjie Rui

J. Chem. Inf. Model., 2019

2017

Detecting complex indels with wide length-spectrum from the third generation sequencing data.

Xuanping Zhang, Hengwei Chen, Rong Zhang, Jingwen Pei, Yixuan Wang, Zhongmeng Zhao, Yi Huang, Jiayin Wang

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017